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Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 861 to 880.First4041424344454647Last
Id Label Status Status Modified Notation
DEA1F Wesel Quick edit Valid 2013-09-25 DEA1F
DEA2 Köln Quick edit Valid 2013-09-25 DEA2
DEA21 Aachen, Kreisfreie Stadt (NUTS 2006) Quick edit Valid 2013-09-25 DEA21
DEA22 Bonn, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA22
DEA23 Köln, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA23
DEA24 Leverkusen, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA24
DEA25 Aachen, Kreis (NUTS 2006) Quick edit Valid 2013-09-25 DEA25
DEA26 Düren Quick edit Valid 2013-09-25 DEA26
DEA27 Rhein-Erft-Kreis Quick edit Valid 2013-09-25 DEA27
DEA28 Euskirchen Quick edit Valid 2013-09-25 DEA28
DEA29 Heinsberg Quick edit Valid 2013-09-25 DEA29
DEA2A Oberbergischer Kreis Quick edit Valid 2013-09-25 DEA2A
DEA2B Rheinisch-Bergischer Kreis Quick edit Valid 2013-09-25 DEA2B
DEA2C Rhein-Sieg-Kreis Quick edit Valid 2013-09-25 DEA2C
DEA2D Städteregion Aachen Quick edit Valid 2013-09-25 DEA2D
DEA3 Münster Quick edit Valid 2013-09-25 DEA3
DEA31 Bottrop, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA31
DEA32 Gelsenkirchen, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA32
DEA33 Münster, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA33
DEA34 Borken Quick edit Valid 2013-09-25 DEA34
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?